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Published in: Familial Cancer 1/2015

01-03-2015 | Original Article

Estimate of the penetrance of BRCA mutation and the COS software for the assessment of BRCA mutation probability

Authors: Jacopo Berrino, Franco Berrino, Silvia Francisci, Bernard Peissel, Jacopo Azzollini, Valeria Pensotti, Paolo Radice, Patrizia Pasanisi, Siranoush Manoukian

Published in: Familial Cancer | Issue 1/2015

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Abstract

We have designed the user-friendly COS software with the intent to improve estimation of the probability of a family carrying a deleterious BRCA gene mutation. The COS software is similar to the widely-used Bayesian-based BRCAPRO software, but it incorporates improved assumptions on cancer incidence in women with and without a deleterious mutation, takes into account relatives up to the fourth degree and allows researchers to consider an hypothetical third gene or a polygenic model of inheritance. Since breast cancer incidence and penetrance increase over generations, we estimated birth-cohort-specific incidence and penetrance curves. We estimated breast and ovarian cancer penetrance in 384 BRCA1 and 229 BRCA2 mutated families. We tested the COS performance in 436 Italian breast/ovarian cancer families including 79 with BRCA1 and 27 with BRCA2 mutations. The area under receiver operator curve (AUROC) was 84.4 %. The best probability threshold for offering the test was 22.9 %, with sensitivity 80.2 % and specificity 80.3 %. Notwithstanding very different assumptions, COS results were similar to BRCAPRO v6.0.
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Literature
1.
go back to reference The Breast Cancer Linkage (1999) Cancer risks in BRCA2 mutation carriers. J Natl Cancer Inst 91:1310–1316CrossRef The Breast Cancer Linkage (1999) Cancer risks in BRCA2 mutation carriers. J Natl Cancer Inst 91:1310–1316CrossRef
2.
go back to reference Brose MS, Rebbeck TR, Calzone KA, Stopfer JE, Nathanson KL, Weber BL (2002) Cancer risk estimates for BRCA1 mutation carriers identified in a risk evaluation program. J Natl Cancer Inst 94:1365–1372CrossRefPubMed Brose MS, Rebbeck TR, Calzone KA, Stopfer JE, Nathanson KL, Weber BL (2002) Cancer risk estimates for BRCA1 mutation carriers identified in a risk evaluation program. J Natl Cancer Inst 94:1365–1372CrossRefPubMed
3.
go back to reference Easton DF, Bishop DT, Ford D, Crockford GP (1993) Genetic linkage analysis in familial breast and ovarian cancer: results from 214 families. The breast cancer linkage consortium. Am J Hum Genet 52:678–701PubMedCentralPubMed Easton DF, Bishop DT, Ford D, Crockford GP (1993) Genetic linkage analysis in familial breast and ovarian cancer: results from 214 families. The breast cancer linkage consortium. Am J Hum Genet 52:678–701PubMedCentralPubMed
4.
go back to reference Ford D, Easton DF, Stratton M et al (1998) Genetic heterogeneity and penetrance analysis of the BRCA1 and BRCA2 genes in breast cancer families. The breast cancer linkage consortium. Am J Hum Genet 62:676–689CrossRefPubMedCentralPubMed Ford D, Easton DF, Stratton M et al (1998) Genetic heterogeneity and penetrance analysis of the BRCA1 and BRCA2 genes in breast cancer families. The breast cancer linkage consortium. Am J Hum Genet 62:676–689CrossRefPubMedCentralPubMed
5.
go back to reference Narod S, Ford D, Devilee P et al (1995) Genetic heterogeneity of breast-ovarian cancer revisited. Breast cancer linkage consortium. Am J Hum Genet 57:957–958PubMedCentralPubMed Narod S, Ford D, Devilee P et al (1995) Genetic heterogeneity of breast-ovarian cancer revisited. Breast cancer linkage consortium. Am J Hum Genet 57:957–958PubMedCentralPubMed
6.
go back to reference Bonadona V, Sinilnikova OM, Chopin S et al (2005) Contribution of BRCA1 and BRCA2 germ-line mutations to the incidence of breast cancer in young women: results from a prospective population-based study in France. Genes Chromosomes Cancer 43:404–413CrossRefPubMed Bonadona V, Sinilnikova OM, Chopin S et al (2005) Contribution of BRCA1 and BRCA2 germ-line mutations to the incidence of breast cancer in young women: results from a prospective population-based study in France. Genes Chromosomes Cancer 43:404–413CrossRefPubMed
7.
go back to reference Hopper JL, Southey MC, Dite GS et al (1999) Population-based estimate of the average age-specific cumulative risk of breast cancer for a defined set of protein-truncating mutations in BRCA1 and BRCA2. Australian breast cancer family study. Cancer Epidemiol Biomarkers Prev 8:741–747PubMed Hopper JL, Southey MC, Dite GS et al (1999) Population-based estimate of the average age-specific cumulative risk of breast cancer for a defined set of protein-truncating mutations in BRCA1 and BRCA2. Australian breast cancer family study. Cancer Epidemiol Biomarkers Prev 8:741–747PubMed
8.
go back to reference Loman N, Bladstrom A, Johannsson O, Borg A, Olsson H (2003) Cancer incidence in relatives of a population-based set of cases of early-onset breast cancer with a known BRCA1 and BRCA2 mutation status. Breast Cancer Res 5:R175–R186CrossRefPubMedCentralPubMed Loman N, Bladstrom A, Johannsson O, Borg A, Olsson H (2003) Cancer incidence in relatives of a population-based set of cases of early-onset breast cancer with a known BRCA1 and BRCA2 mutation status. Breast Cancer Res 5:R175–R186CrossRefPubMedCentralPubMed
9.
go back to reference Struewing JP, Hartge P, Wacholder S et al (1997) The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews. N Engl J Med 336:1401–1408CrossRefPubMed Struewing JP, Hartge P, Wacholder S et al (1997) The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews. N Engl J Med 336:1401–1408CrossRefPubMed
10.
go back to reference Risch HA, McLaughlin JR, Cole DE et al (2006) Population BRCA1 and BRCA2 mutation frequencies and cancer penetrances: a kin-cohort study in Ontario, Canada. J Natl Cancer Inst 98:1694–1706CrossRefPubMed Risch HA, McLaughlin JR, Cole DE et al (2006) Population BRCA1 and BRCA2 mutation frequencies and cancer penetrances: a kin-cohort study in Ontario, Canada. J Natl Cancer Inst 98:1694–1706CrossRefPubMed
11.
go back to reference Thorlacius S, Struewing JP, Hartge P et al (1998) Population-based study of risk of breast cancer in carriers of BRCA2 mutation. Lancet 352:1337–1339CrossRefPubMed Thorlacius S, Struewing JP, Hartge P et al (1998) Population-based study of risk of breast cancer in carriers of BRCA2 mutation. Lancet 352:1337–1339CrossRefPubMed
12.
go back to reference Anglian Breast Cancer Study Group (2000) Prevalence and penetrance of BRCA1 and BRCA2 mutations in a population-based series of breast cancer cases. Br J Cancer 83:1301–1308CrossRefPubMedCentral Anglian Breast Cancer Study Group (2000) Prevalence and penetrance of BRCA1 and BRCA2 mutations in a population-based series of breast cancer cases. Br J Cancer 83:1301–1308CrossRefPubMedCentral
13.
go back to reference Mavaddat N, Peock S, Frost D et al (2013) Cancer risks for BRCA1 and BRCA2 mutation carriers: results from prospective analysis of EMBRACE. J Natl Cancer Inst 105:812–822CrossRefPubMed Mavaddat N, Peock S, Frost D et al (2013) Cancer risks for BRCA1 and BRCA2 mutation carriers: results from prospective analysis of EMBRACE. J Natl Cancer Inst 105:812–822CrossRefPubMed
14.
go back to reference Antoniou A, Pharoah PD, Narod S et al (2003) Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case Series unselected for family history: a combined analysis of 22 studies. Am J Hum Genet 72:1117–1130CrossRefPubMedCentralPubMed Antoniou A, Pharoah PD, Narod S et al (2003) Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case Series unselected for family history: a combined analysis of 22 studies. Am J Hum Genet 72:1117–1130CrossRefPubMedCentralPubMed
16.
go back to reference Antoniou AC, Easton DF (2006) Models of genetic susceptibility to breast cancer. Oncogene 25:5898–5905CrossRefPubMed Antoniou AC, Easton DF (2006) Models of genetic susceptibility to breast cancer. Oncogene 25:5898–5905CrossRefPubMed
17.
go back to reference Claus EB, Risch N, Thompson WD (1994) Autosomal dominant inheritance of early-onset breast cancer. Implications for risk prediction. Cancer 73:643–651CrossRefPubMed Claus EB, Risch N, Thompson WD (1994) Autosomal dominant inheritance of early-onset breast cancer. Implications for risk prediction. Cancer 73:643–651CrossRefPubMed
18.
go back to reference Federico M, Maiorana A, Mangone L et al (1999) Identification of families with hereditary breast and ovarian cancer for clinical and mammographic surveillance: the Modena Study Group proposal. Breast Cancer Res Treat 55:213–221CrossRefPubMed Federico M, Maiorana A, Mangone L et al (1999) Identification of families with hereditary breast and ovarian cancer for clinical and mammographic surveillance: the Modena Study Group proposal. Breast Cancer Res Treat 55:213–221CrossRefPubMed
19.
go back to reference Frank TS, Deffenbaugh AM, Reid JE et al (2002) Clinical characteristics of individuals with germline mutations in BRCA1 and BRCA2: analysis of 10,000 individuals. J Clin Oncol 20:1480–1490CrossRefPubMed Frank TS, Deffenbaugh AM, Reid JE et al (2002) Clinical characteristics of individuals with germline mutations in BRCA1 and BRCA2: analysis of 10,000 individuals. J Clin Oncol 20:1480–1490CrossRefPubMed
20.
go back to reference Shattuck-Eidens D, Oliphant A, McClure M et al (1997) BRCA1 sequence analysis in women at high risk for susceptibility mutations. Risk factor analysis and implications for genetic testing. JAMA 278:1242–1250CrossRefPubMed Shattuck-Eidens D, Oliphant A, McClure M et al (1997) BRCA1 sequence analysis in women at high risk for susceptibility mutations. Risk factor analysis and implications for genetic testing. JAMA 278:1242–1250CrossRefPubMed
21.
go back to reference Berry DA, Parmigiani G, Sanchez J, Schildkraut J, Winer E (1997) Probability of carrying a mutation of breast-ovarian cancer gene BRCA1 based on family history. J Natl Cancer Inst 89:227–238CrossRefPubMed Berry DA, Parmigiani G, Sanchez J, Schildkraut J, Winer E (1997) Probability of carrying a mutation of breast-ovarian cancer gene BRCA1 based on family history. J Natl Cancer Inst 89:227–238CrossRefPubMed
22.
go back to reference Parmigiani G, Berry D, Aguilar O (1998) Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2. Am J Hum Genet 62:145–158CrossRefPubMedCentralPubMed Parmigiani G, Berry D, Aguilar O (1998) Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2. Am J Hum Genet 62:145–158CrossRefPubMedCentralPubMed
23.
24.
go back to reference Berrino F, Pasanisi P, Berrino J, Curtosi P, Bellati C (2002) A European case-only study on familial breast cancer. IARC Sci Publ 156:63–65PubMed Berrino F, Pasanisi P, Berrino J, Curtosi P, Bellati C (2002) A European case-only study on familial breast cancer. IARC Sci Publ 156:63–65PubMed
25.
go back to reference Pasanisi P, Berrino J, Fusconi E, Curtosi P, Berrino F (2005) A European case-only study (COS) on familial breast cancer. J Nutr 135:3040S–3041S Pasanisi P, Berrino J, Fusconi E, Curtosi P, Berrino F (2005) A European case-only study (COS) on familial breast cancer. J Nutr 135:3040S–3041S
26.
go back to reference Pasanisi P, Hédelin G, Berrino J et al (2009) Oral contraceptive use and BRCA penetrance: a case-only study. Cancer Epidemiol Biomarkers Prev 18:2107–2113CrossRefPubMed Pasanisi P, Hédelin G, Berrino J et al (2009) Oral contraceptive use and BRCA penetrance: a case-only study. Cancer Epidemiol Biomarkers Prev 18:2107–2113CrossRefPubMed
27.
go back to reference Pasanisi P, Bruno E, Manoukian S, Berrino F (2013) A randomized controlled trial of diet and physical activity in BRCA mutation carriers. Fam Cancer. doi:10.1007/s10689-013-9691 Pasanisi P, Bruno E, Manoukian S, Berrino F (2013) A randomized controlled trial of diet and physical activity in BRCA mutation carriers. Fam Cancer. doi:10.​1007/​s10689-013-9691
28.
go back to reference Parkin D, Whelan SL, Ferlay J (2002) Cancer incidence in five continents. IARC scientific publication no. 155. IARC Press, Lyon Parkin D, Whelan SL, Ferlay J (2002) Cancer incidence in five continents. IARC scientific publication no. 155. IARC Press, Lyon
29.
go back to reference Capocaccia R, Verdecchia A, Micheli A, Sant M, Gatta G, Berrino F (1990) Breast cancer incidence and prevalence estimated from survival and mortality. Cancer Causes Control 1:23–29CrossRefPubMed Capocaccia R, Verdecchia A, Micheli A, Sant M, Gatta G, Berrino F (1990) Breast cancer incidence and prevalence estimated from survival and mortality. Cancer Causes Control 1:23–29CrossRefPubMed
30.
go back to reference Chang-Claude J, Becher H, Eby N, Bastert G, Wahrendorf J, Hamann U (1997) Modifying effect of reproductive risk factors on the age at onset of breast cancer for German BRCA1 mutation carriers. J Cancer Res Clin Oncol 123:272–279PubMed Chang-Claude J, Becher H, Eby N, Bastert G, Wahrendorf J, Hamann U (1997) Modifying effect of reproductive risk factors on the age at onset of breast cancer for German BRCA1 mutation carriers. J Cancer Res Clin Oncol 123:272–279PubMed
31.
go back to reference Narod SA, Goldgar D, Cannon-Albright L et al (1995) Risk modifiers in carriers of BRCA1 mutations. Int J Cancer 64:394–398CrossRefPubMed Narod SA, Goldgar D, Cannon-Albright L et al (1995) Risk modifiers in carriers of BRCA1 mutations. Int J Cancer 64:394–398CrossRefPubMed
32.
go back to reference Tryggvadottir L, Sigvaldason H, Olafsdottir GH et al (2006) Population-based study of changing breast cancer risk in Icelandic BRCA2 mutation carriers, 1920–2000. J Natl Cancer Inst 98:116–122CrossRefPubMed Tryggvadottir L, Sigvaldason H, Olafsdottir GH et al (2006) Population-based study of changing breast cancer risk in Icelandic BRCA2 mutation carriers, 1920–2000. J Natl Cancer Inst 98:116–122CrossRefPubMed
33.
go back to reference Antoniou AC, Pharoah PP, Smith P, Easton DF (2004) The BOADICEA model of genetic susceptibility to breast and ovarian cancer. Br J Cancer 91:1580–1590PubMedCentralPubMed Antoniou AC, Pharoah PP, Smith P, Easton DF (2004) The BOADICEA model of genetic susceptibility to breast and ovarian cancer. Br J Cancer 91:1580–1590PubMedCentralPubMed
34.
go back to reference Lee AJ, Cunningham AP, Kuchenbaecker KB, Mavaddat N, Easton DF, Antoniou AC (2014) BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface. Br J Cancer 110:535–545CrossRefPubMedCentralPubMed Lee AJ, Cunningham AP, Kuchenbaecker KB, Mavaddat N, Easton DF, Antoniou AC (2014) BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface. Br J Cancer 110:535–545CrossRefPubMedCentralPubMed
35.
go back to reference Roudgari H, Miedzybrodzka ZH, Haites NE (2008) Probability estimation models for prediction of BRCA1 and BRCA2 mutation carriers: COS compares favourably with other models. Fam Cancer 7:199–212CrossRefPubMed Roudgari H, Miedzybrodzka ZH, Haites NE (2008) Probability estimation models for prediction of BRCA1 and BRCA2 mutation carriers: COS compares favourably with other models. Fam Cancer 7:199–212CrossRefPubMed
36.
go back to reference Manoukian S, Peissel B, Pensotti V et al (2007) Germline mutations of TP53 and BRCA2 genes in breast cancer/sarcoma families. Eur J Cancer 43:601–606CrossRefPubMed Manoukian S, Peissel B, Pensotti V et al (2007) Germline mutations of TP53 and BRCA2 genes in breast cancer/sarcoma families. Eur J Cancer 43:601–606CrossRefPubMed
37.
go back to reference Radice P (2002) Mutations of BRCA genes in hereditary breast and ovarian cancer. J Exp Clin Cancer Res 21:9–12PubMed Radice P (2002) Mutations of BRCA genes in hereditary breast and ovarian cancer. J Exp Clin Cancer Res 21:9–12PubMed
38.
go back to reference Lindor NM, Guidugli L, Wang X et al (2012) A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS). Hum Mutat 33:8–21CrossRefPubMedCentralPubMed Lindor NM, Guidugli L, Wang X et al (2012) A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS). Hum Mutat 33:8–21CrossRefPubMedCentralPubMed
39.
go back to reference Verdecchia A, Capocaccia R, Egidi V, Golini A (1989) A method for the estimation of chronic disease morbidity and trends from mortality data. Stat Med 8:201–216CrossRefPubMed Verdecchia A, Capocaccia R, Egidi V, Golini A (1989) A method for the estimation of chronic disease morbidity and trends from mortality data. Stat Med 8:201–216CrossRefPubMed
40.
go back to reference Berrino F, Capocaccia R, Esteve J et al (1999) Survival of cancer patients in Europe: the EUROCARE-2 study. IARC scientific publications no. 151, Lyon Berrino F, Capocaccia R, Esteve J et al (1999) Survival of cancer patients in Europe: the EUROCARE-2 study. IARC scientific publications no. 151, Lyon
41.
go back to reference Berrino F, Capocaccia R, Coleman P et al (2003) Survival of cancer patients in Europe: the EUROCARE-3 study. Ann Oncol 14:v1–v155CrossRef Berrino F, Capocaccia R, Coleman P et al (2003) Survival of cancer patients in Europe: the EUROCARE-3 study. Ann Oncol 14:v1–v155CrossRef
42.
go back to reference De Angelis G, De Angelis R, Frova L, Verdecchia A (1994) MIAMOD: a computer package to estimate chronic disease morbidity using mortality and survival data. Comput Methods Programs Biomed 44:99–107CrossRefPubMed De Angelis G, De Angelis R, Frova L, Verdecchia A (1994) MIAMOD: a computer package to estimate chronic disease morbidity using mortality and survival data. Comput Methods Programs Biomed 44:99–107CrossRefPubMed
43.
go back to reference Micheli A, Verdecchia A, Capocaccia R et al (1992) Estimated incidence and prevalence of female breast cancer in Italian regions. Tumori 78:13–21PubMed Micheli A, Verdecchia A, Capocaccia R et al (1992) Estimated incidence and prevalence of female breast cancer in Italian regions. Tumori 78:13–21PubMed
44.
go back to reference Gonzalez-Diego P, Lopez-Abente G, Pollan M, Ruiz M (2000) Time trends in ovarian cancer mortality in Europe (1955–1993): effect of age, birth cohort and period of death. Eur J Cancer 36:1816–1824CrossRefPubMed Gonzalez-Diego P, Lopez-Abente G, Pollan M, Ruiz M (2000) Time trends in ovarian cancer mortality in Europe (1955–1993): effect of age, birth cohort and period of death. Eur J Cancer 36:1816–1824CrossRefPubMed
45.
go back to reference Press WH, Tekolski SA, Vetterling WT, Flannery BP (1992) Numerical Recipes in C: the art of scientific computing, 2edn. Cambridge University Press, Cambridge Press WH, Tekolski SA, Vetterling WT, Flannery BP (1992) Numerical Recipes in C: the art of scientific computing, 2edn. Cambridge University Press, Cambridge
46.
48.
go back to reference Eccles SA, Aboagye EO, Ali S et al (2013) Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer. Breast Cancer Res 15:R92CrossRefPubMedCentralPubMed Eccles SA, Aboagye EO, Ali S et al (2013) Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer. Breast Cancer Res 15:R92CrossRefPubMedCentralPubMed
49.
go back to reference Ford D, Easton DF, Peto J (1995) Estimates of the gene frequency of BRCA1 and its contribution to breast and ovarian cancer incidence. Am J Hum Genet 57:1457–1462PubMedCentralPubMed Ford D, Easton DF, Peto J (1995) Estimates of the gene frequency of BRCA1 and its contribution to breast and ovarian cancer incidence. Am J Hum Genet 57:1457–1462PubMedCentralPubMed
51.
go back to reference Malone KE, Daling JR, Doody DR et al (2006) Prevalence and predictors of BRCA1 and BRCA2 mutations in a population-based study of breast cancer in white and black American women ages 35–64 years. Cancer Res 66:8297–8308CrossRefPubMed Malone KE, Daling JR, Doody DR et al (2006) Prevalence and predictors of BRCA1 and BRCA2 mutations in a population-based study of breast cancer in white and black American women ages 35–64 years. Cancer Res 66:8297–8308CrossRefPubMed
52.
go back to reference Claus EB, Risch N, Thompson WD (1991) Genetic analysis of breast cancer in the cancer and steroid hormone study. Am J Hum Genet 48:232–242PubMedCentralPubMed Claus EB, Risch N, Thompson WD (1991) Genetic analysis of breast cancer in the cancer and steroid hormone study. Am J Hum Genet 48:232–242PubMedCentralPubMed
53.
go back to reference DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845CrossRefPubMed DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845CrossRefPubMed
54.
go back to reference Perkins NJ, Schisterman EF (2006) The inconsistency of “optimal” cutpoints obtained using two criteria based on the receiver operating characteristic curve. Am J Epidemiol 163:670–675CrossRefPubMedCentralPubMed Perkins NJ, Schisterman EF (2006) The inconsistency of “optimal” cutpoints obtained using two criteria based on the receiver operating characteristic curve. Am J Epidemiol 163:670–675CrossRefPubMedCentralPubMed
Metadata
Title
Estimate of the penetrance of BRCA mutation and the COS software for the assessment of BRCA mutation probability
Authors
Jacopo Berrino
Franco Berrino
Silvia Francisci
Bernard Peissel
Jacopo Azzollini
Valeria Pensotti
Paolo Radice
Patrizia Pasanisi
Siranoush Manoukian
Publication date
01-03-2015
Publisher
Springer Netherlands
Published in
Familial Cancer / Issue 1/2015
Print ISSN: 1389-9600
Electronic ISSN: 1573-7292
DOI
https://doi.org/10.1007/s10689-014-9766-8

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